Revenue Operations Analyst

Overview

Job Description

Responsibilities

• - Analyze sales, marketing, and operational data to uncover trends, performance gaps, and opportunities for growth across the funnel.
• - Develop and populate monthly reporting for GTM teams on key operating metrics.
• - Build and maintain trusted 'source of truth' dashboards and KPI reporting using Sigma Computing, ensuring stakeholders have reliable, self-serve insights.
• - Own CAC and ROAS analysis across all acquisition channels (e.g., Google, Facebook, partnerships, referrals) to inform spend efficiency and growth strategy.
• - Diagnose funnel performance and identify drop-off points across the buyer journey—from lead qualification and SDR handoffs to demos, pipeline progression, and deal close.
• - Partner with Finance and Revenue leaders to support forecasting, budgeting, and planning through robust data models and historical trend analysis.
• - Ensure data accuracy, consistency, and governance across CRM, marketing, and analytics systems.
• - Design and maintain win/loss analysis frameworks that systematize feedback and inform improvements across Sales, Marketing, and Product.
• - Build and iterate on revenue forecasts incorporating lead volume, conversion rates, sales cycle length, and historical performance.

Required Skills

• - 3-5 years of experience in an analytical role within a SaaS or high-growth tech company, or a transferable background in Consulting, Strategic Finance, Investment Banking, or Corporate Strategy.
• - Familiarity with CRM systems and core GTM / revenue operations workflows.
• - Proficiency in SQL and a solid understanding of data modeling concepts.
• - Strong analytical instincts and comfort working with large, complex datasets.
• - Experience building dashboards and visualizations in tools like Sigma, Looker, Tableau, or Excel.
• - Clear, concise communicator who can translate complex analysis into compelling insights for technical and non-technical audiences.
• - Detail-oriented problem solver with high standards for accuracy and data quality.
• - Thrives in a fast-paced, evolving environment with a strong sense of ownership and accountability.

Benefits

• - Remote work
• - Inclusive work environment
• - Encouragement for people from underrepresented groups in tech to apply